Sensing-Assisted Accurate and Fast Beam Management for Cellular-Connected mmWave UAV Network

作     者：Cui Yanpeng Zhang Qixun Feng Zhiyong Qin Wen Zhou Ying Wei Zhiqing Zhang Ping Cui Yanpeng;Zhang Qixun;Feng Zhiyong;Qin Wen;Zhou Ying;Wei Zhiqing;Zhang Ping

作者机构：School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijing 100876China School of Computer ScienceNorthwestern Polytechnical UniversityXi’an 710072China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2024年第21卷第6期

页      面：271-289页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 082503[工学-航空宇航制造工程] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the Major Research Projects of the National Natural Science Foundation of China(92267202) the National Key Research and Development Project(2020YFA0711303) the BUPT Excellent Ph.D.Students Foundation(CX2022208) 

主　　题：beam management integrated sensing and communication UAV communication 

摘      要：Beam management,including initial access(IA)and beam tracking,is essential to the millimeter-wave Unmanned Aerial Vehicle(UAV)***,the conventional communicationonly and feedback-based schemes suffer a high delay and low accuracy of beam alignment,since they only enable the receiver to passively“hearthe information of the transmitter from the radio *** paper presents a novel sensing-assisted beam management approach,the first solution that fully utilizes the information from the visual domain to improve communication *** employ both integrated sensing and communication and computer vision techniques and design an extended Kalman filtering method for beam tracking and ***,we also propose a novel dual identity association solution to distinguish multiple UAVs in dynamic ***-world experiments and numerical results show that the proposed solution outperforms the conventional methods in IA delay,association accuracy,tracking error,and communication performance.